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most citedTheoretical foundations of studying criticality in the brain

43 citations · 72 across the 17 of their papers we have counts for

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6 papers · 1 filter

q-bio.NC2023★ 43 cited

Theoretical foundations of studying criticality in the brain

Yang Tian, Zeren Tan, Hedong Hou +6

Criticality is hypothesized as a physical mechanism underlying efficient transitions between cortical states and remarkable information processing capacities in the brain. While co…

cond-mat.stat-mech2023★ 1 cited

Simplex path integral and simplex renormalization group for high-order interactions

Aohua Cheng, Yunhui Xu, Pei Sun +1

Modern theories of phase transitions and scale-invariance are rooted in path integral formulation and renormalization group (RG). Despite the applicability of these approaches on s…

cond-mat.stat-mech2023

Laplacian dynamics of convergent and divergent swarm behaviors

Yang Tian, Yunhui Xu, Pei Sun

Swarming phenomena are ubiquitous in various physical, biological, and social systems, where simple local interactions between individual units lead to complex global patterns. A c…

cond-mat.stat-mech2023

Thermodynamics of percolation in interacting systems

Yizhou Xu, Pei Sun, Yang Tian

Interacting systems can be studied as the networks where nodes are system units and edges denote correlated interactions. Although percolation on network is a unified way to model…

cs.LG2023★ 1 cited

Koopman neural operator as a mesh-free solver of non-linear partial differential equations

Wei Xiong, Xiaomeng Huang, Ziyang Zhang +3

The lacking of analytic solutions of diverse partial differential equations (PDEs) gives birth to a series of computational techniques for numerical solutions. Although numerous la…

cs.LG2023★ 1 cited

KoopmanLab: machine learning for solving complex physics equations

Wei Xiong, Muyuan Ma, Xiaomeng Huang +3

Numerous physics theories are rooted in partial differential equations (PDEs). However, the increasingly intricate physics equations, especially those that lack analytic solutions…